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Tesla’s Battery strategy is in preparation for two of its most anticipated vehicles
Tesla has continued to attempt to improve its battery packs and cells despite being the industry leader in EV battery tech. Interestingly enough, the electric car company located in Silicon Valley has had some of the best vehicles in terms of EV range in the past ten years. While other car companies were struggling to equip their attempts at electric cars with 100 miles of usable range, Tesla was and has been pushing the envelope since the original Roadster in 2008.
But even though the company has facilitated several vehicles in its fleet to have over 300 miles of range, and one with over 400 miles, it hasn’t been enough to let Tesla’s battery engineers rest. Even though the Model S Long Range Plus configuration packs 402 miles of electric range, which is plenty for most drivers, Tesla has several cars in the works that pack considerably more range than that. These are also not your “run of the mill” EVs, either. They are the Tri-Motor Cybertruck and the next-gen Roadster.
Batteries are what drive an EV to be all that it can be. They are responsible for the range and the performance of the car, along with the motors and engineering of the chassis and body. However, battery tech is ultimately what decides if a vehicle is going to be a successful electric car or just another one to add to the list of underperforming automobiles.
The key to building a great electric car, like anything else, is starting at the foundation. When you want to make a great pizza, you start with great dough. When you want to make a great EV, you start with the battery cells.
The problem with batteries is that there are no two cells that are the same when the materials that are used within are concerned. Not only that, but sometimes the elements that make some batteries stable and help with energy density are controversial. This is the case with cobalt.
But before I go into a spiel about Tesla’s use of cobalt and how the company responsibly sources it, let’s stay on topic.
Tesla’s battery teams in Canada, led by Jeff Dahn at Dalhousie University, released a new paper this week that indicated an electrolyte solution could contribute to increased battery energy density, and could lead to an extended lifespan.
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The solution would be used to combat the effects of degradation, and would ultimately lead to a longer life span and increased energy density. Enter the Tri-Motor Cybertruck and Roadster.
Both of these cars have range ratings that are well above the Model S Long Range Plus variant. The Cybertruck’s Tri-Motor will have 500+ miles of range, and the Roadster will have 620 miles.
However, Tesla’s current cells are not capable of holding this amount of range. If the batteries are not capable of holding excessive amounts of energy density, they will not perform in the fashion that they were intended. Therefore, Tesla has to continue developing its cells to promote longer-range driving and a long lifespan.
Starting with the Cybertruck, which has an estimated range of “500+ miles,” according to Tesla’s website. Currently, Tesla does not have a battery pack released that is capable of that kind of range, so the batteries must improve. The Tri-Motor setup will certainly help with the towing capacity and acceleration. Still, the battery pack within the Cybertruck has to work efficiently to not only supply power to those motors, but it also has to maintain energy so it can keep range at a reasonable level.
With the Roadster, things are slightly different. This car will (more than likely) not be towing things or have excessive amounts of cargo in the back, so there isn’t as much involved with maintaining range through laborious work. However, it is one of the fastest cars ever made, and Elon Musk has said in the past that the range of the Roadster will be over 1,000 kilometers or 621 miles.
Ultimately, the development of Tesla’s cells has to continue to improve. Obviously, the battery packs for both of the vehicles that were talked about in this article will have battery packs that are larger than the 100 kWh packs that Tesla puts in the Performance variants of the Model S and Model X. But there is a chance that Tesla equips the Cybertruck and Roadster with smaller, more energy-dense batteries like the 2170 cells that are used in the Model 3 and Model Y.
Lucid’s reveal of the 517-mile range that their new EV, the Air, has, certainly must have lit a fire under the rear-ends of Tesla’s battery engineers. Tesla has had a reputation of being the EV company with the best range, and now that Lucid “technically” has the title for that, even though the car isn’t in production, Tesla will likely be gearing up for a takeback of that label.
Tesla’s battery strategy from here on out will be interesting considering other auto companies have proven they are capable of competing in terms of EV range. There is still the fact that Tesla is actually producing these cars on a massive scale and we know that the company’s cars can perform, we don’t know this about the other vehicles yet.
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Investor's Corner
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Elon Musk
Tesla Hardware 3 owners could be made whole this month
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.